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AI-BL1.0: a program for automatic on-line beamline optimization using the evolutionary algorithm.

Authors
  • Xi, Shibo1
  • Borgna, Lucas Santiago2
  • Zheng, Lirong3
  • Du, Yonghua1
  • Hu, Tiandou3
  • 1 Heterogeneous Catalysis, Institute of Chemical and Engineering Sciences, Agency for Science, Technology and Research, 1 Pesek Road, Jurong Island 627833, Singapore. , (Singapore)
  • 2 Department of Physics, Loughborough University, Leicestershire LE11 3TU, UK.
  • 3 Beijing Synchrotron Radiation Facility, Institute of High Energy Physics, Chinese Academy of Sciences, 19B Yuquan Road, Shijingshan District, Beijing 100049, People's Republic of China. , (China)
Type
Published Article
Journal
Journal of Synchrotron Radiation
Publisher
International Union of Crystallography
Publication Date
Jan 01, 2017
Volume
24
Issue
Pt 1
Pages
367–373
Identifiers
DOI: 10.1107/S1600577516018117
PMID: 28009579
Source
Medline
Keywords
License
Unknown

Abstract

In this report, AI-BL1.0, an open-source Labview-based program for automatic on-line beamline optimization, is presented. The optimization algorithms used in the program are Genetic Algorithm and Differential Evolution. Efficiency was improved by use of a strategy known as Observer Mode for Evolutionary Algorithm. The program was constructed and validated at the XAFCA beamline of the Singapore Synchrotron Light Source and 1W1B beamline of the Beijing Synchrotron Radiation Facility.

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